Nicola Richmond

VP of AI at BenevolentAI
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Contact Information
us****@****om
(386) 825-5501
Location
UK
Languages
  • English -
  • French -

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Bio

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Experience

    • United Kingdom
    • Biotechnology Research
    • 200 - 300 Employee
    • VP of AI
      • Jul 2022 - Present

    • Canada
    • Biotechnology Research
    • 1 - 100 Employee
    • Head of Artificial Intelligence
      • Mar 2022 - May 2022

    • United Kingdom
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Director Artificial Intelligence and Machine Learning
      • Dec 2018 - Mar 2022

      Head of the GSK.ai Fellowship Programme which equips early-career machine learning researchers with an understanding of the pharmaceutical industry, software engineering best practice and how to translate ML research into tools that will advance the discovery of innovative medicines.

    • Business Lead, Innovation in Data Analytics
      • Jan 2016 - Nov 2018

      Remit for identifying and embedding cutting edge data analytics into R&D's Platform Technology and Science organisation.

    • Investigator
      • Jul 2004 - Dec 2015

      Design, development and application of computational methodologies for analysing high throughput and high content screening data, target deconvolution of phenotypic response, identification of best molecule, hit expansion, SAR analysis and compound set selection.

    • Higher Education
    • 700 & Above Employee
    • Tripos Research Fellow
      • 2002 - 2004

      Design and development of a novel methodology, based on image recognition, for aligning molecules in 3D. This methodology was incorporated into Certara's GALAHAD software. https://www.certara.com/publication/a-marriage-made-in-torsional-space-using-galahad-models-to-drive-pharmacophore-multiplet-searches/ Design and development of a novel methodology, based on image recognition, for aligning molecules in 3D. This methodology was incorporated into Certara's GALAHAD software. https://www.certara.com/publication/a-marriage-made-in-torsional-space-using-galahad-models-to-drive-pharmacophore-multiplet-searches/

    • United Kingdom
    • Manufacturing
    • 700 & Above Employee
    • Scientist
      • 2000 - 2002

      Developed software to calculate 2D molecular descriptors to enable rapid generation of regression based, predictive models. This software became the Unilever gold standard, having replaced the commercial equivalent. Developed software to calculate 2D molecular descriptors to enable rapid generation of regression based, predictive models. This software became the Unilever gold standard, having replaced the commercial equivalent.

    • United Kingdom
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Associate Analyst
      • Oct 1999 - Jun 2000

      Worked on a number of customer site-based, IT projects within the scienti c and engineering industry sectors, including the implementation of a software system to control and monitor robotic arms performing diagnostics in jet engines. Worked on a number of customer site-based, IT projects within the scienti c and engineering industry sectors, including the implementation of a software system to control and monitor robotic arms performing diagnostics in jet engines.

Education

  • University of Leeds
    Doctor of Philosophy (Ph.D.), Pure Mathematics
    1995 - 1999
  • The University of Edinburgh
    Master’s Degree, Computer Science
    1994 - 1995
  • The University of Edinburgh
    Bachelor’s Degree, Mathematics
    1990 - 1994

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